Scientists at PNNL are bringing artificial intelligence into the quest to see whether computers can help humans sift through a sea of experimental data.
In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.
Twenty-four analysts from U.S. intelligence organizations met in August for a machine learning activity with PNNL researchers Nicole Nichols, Jeremiah Rounds, Lawrence Phillips, and Brian Kritzstein.
Energy storage is slowly shifting utility planning practices from the current paradigm, which ensures grid reliability by building reserve generation resources, to ensuring grid reliability by optimizing grid services.
Trouble on the electric grid might start with something relatively small: a downed power line, or a lightning strike at a substation. What happens next?
Pacific Northwest National Laboratory is leading efforts to address next-generation computing’s critical role in protecting the nation from cybersecurity threats.
A new PNNL tool makes it easy to see the differences across the country when it comes to the cost and affordability of electricity. Users can sort and compare nearly 100 metrics or variables and get individual county information.
Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.
In one of the largest blockchain grid-cyber projects of its kind, PNNL is working with a network of industry partners to test and demonstrate blockchain’s ability to increase the cybersecurity resilience of power grid.
In November, Northeastern University Seattle (NU-Seattle) hosted "Smart Cities: Critical Infrastructure Protection" to explore technology and policy opportunities and challenges facing the smart city evolution.